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Download full textKerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
Ethan R. Van Norman; Emily R. Forcht – Online Submission, 2024
The purpose of this report was to evaluate the Lalilo software program. This large-scale quasi-experimental study independently conducted by Lehigh University reported that K-1 students in schools using Lalilo increased their early literacy skills at a greater rate than students in similar schools that did not use Lalilo.
Descriptors: Computer Software Evaluation, Computer Uses in Education, Emergent Literacy, Primary Education
